JEV is INSANE. We gave it 700 high-intent leads and personalised outreach messages. In 40 seconds, it predicted how each message would perform, assigned a confidence score and detected lead-message mismatches. All for just $0.09. JEV can also score leads, analyse buying Show more
AgentJev-0.6B
An open 0.6B System One decision model that reads unstructured state and typed questions in one forward pass, returning calibrated distributions with zero decoded tokens; weights are published on Hugging Face.
- Category
- Repos & SDKs
- Published by
- Community
- Author
- malevrigns
- Added
- 2026-09-22
Tagscommunitypythonopen-modelsconfidencetool-calling
Highlights
- Its hero benchmark reports 79.25% top-1 on 2,000 Typed Decisions questions from the official test split with zero tokens decoded.
- Backbone is Qwen3-0.6B with the language-model head removed and a permutation-equivariant head that scores options so order adds no ranking.
- Context is capped at 2,048 tokens and over-length input is refused rather than cropped; a shared prefix cuts one measured load from 609.65 ms to 298.91 ms.
- Choice takes 2-255 options and Score 2-10 levels; one call allows 32 states, 128 questions, 1,024 candidate paths, and a 1 MB body.
- Ships a loopback server, Python client, and a PreToolUse gate hook, and states that choice margin is not an independent success probability.
Quickstart
bash
pip install -r requirements.txt
pip install huggingface_hub safetensorsWatch out
Apache-2.0-licensed. Weights live on Hugging Face and must be downloaded separately; it is an independent reimplementation, not affiliated with TypeSafe, and the top-1 figure is the project's own measurement.
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From the community
Posts from builders shipping with Jev right now.
700 leads scored for $0.09
Beating Gemini Flash Lite on an eval
Ran @typesafeai's Jev against an existing classifier eval that previously used Gemini 2.5 Flash Lite. It won both on quality (saturated the eval) and speed (6x)
Browser Use Ultrafast, powered by Jev
Breaking: Browser Use + Jev = Ultrafast ⚡ Findings flights took 7s and cost only $0.0039 🤯 > new action space every step > DOM state space > small LLM fallback to type (this video is at 1x speed btw) Built a tiny open source browser agent. try it below ↓
A really smart switch statement
hype-free explanation of jev: jev does not replace gpt / claude jev is just a *really* smart switch statement like if 2016 ml classifiers got 2026 levels of intelligence it's a new* type of tool that will make a lot of workloads insanely fast, cheap, and accurate * = and by Show more
@CompleteSkeptic
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x
When a designer gets Jev
when a designer gets access to Jev
Full Jev video tutorial
Full Jev Tutorial What it is, how you can build with it and what new applications it can unlock → 0:00 Intro → 0:34 Jev explained → 4:06 API setup → 5:59 Demo 1: Voice-controlled browser → 11:33 Demo 2: AI memory → 17:27 Demo 3: YouTube predictor